Integrating computer-test taxonomies technique into reading comprehension sessions of literary texts to assist struggling readers : the case of iris college pupils at Béjaia, Algeria

Abstract EN

This study is an attempt to find a remedial solution to help IRIS college pupils bridge the gaps in understanding literary texts.

It concerns itself with the issue of how and to which extent test taxonomies by means of computers can call poor readers' higher comprehension skills to overcome their shortfall in comprehending literary texts.

From the assumption that multimedia technologies enhance the visual aspect of the language in question, which is the starting point in the process of reading, we hypothesize that regular tests via computer-based timed readings and computer-based taxonomies of questions may accelerate learners' comprehension rate and promote their reading comprehension proficiency in literary texts.

To test the correctness of our hypotheses, we have opted to the experimental method using an analytic, quantitative approach.

The outcomes of this project demonstrate the role of a computer-based technology in relieving college pupils' difficulties in bottom-up and top-down reading comprehension skills during literary texts classes.

Besides, they show that the major effect of the computer-test taxonomies technique occurs at the levels of macro-skills and comprehension rate as well.